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Measure Transformer Semantics for Bayesian Machine Learning

The Bayesian approach to machine learning amounts to computing posterior distributions of random variables from a probabilistic model of how the variables are related (that is, a prior distribution) and a set of observations of variables. There is a trend in machine learning towards expressing&nbsp;[&hellip;]